Principal data Architect

What you will do

• Establish the framework for data architecture, setting standards and principles encompassing modeling, metadata, security, reference data, and master data
• Provide expertise and guidance on data-related issues, including data processing, data lake design, data integration, and data governance
• Evangelize data strategy among stakeholders such as business users and various development teams through design, documentation, review, and cross team negotiations to support strategic business and technology goals
• Collaborate on continuous improvement of data platform, including tech stack upgrade, cost optimization and compliance requirement
• Choose and communicate common approaches by selecting appropriate frameworks and crafting roadmaps
• Collaborate with cross-functional teams, including data engineers, data scientists, business analysts, product analysts, to gather requirements, define data requirements, and translate business needs into technical specifications

What you will bring

• Bachelor’s Degree in Computer Science, Data Engineering, or Applied Science
• Excellent communication, presentation, and interpersonal skills
• A hands-on approach with deep expertise in enterprise systems architecture, solution design, integration design, new product, and technology assessments
• Proven experience in enterprise data architecture, data platforms, data strategy consulting, or equivalent data management experience
• Expertise with cloud-based platforms like Azure Data Stack (Azure SQL, Data Factory, DataBricks, ADLS, DevOps, Azure EventHub’s etc.)
• Fluent in one or more programming languages (ex., Python/Java/Scala/C# or equivalent)
• Demonstratable experience architecting both Brownfield and Greenfield environments, on-premises and cloud
• Experience building, governing, and scaling data warehouses/lakes/lake houses
• Adept with agile software development lifecycle and DevOps principles

What we would like to see

• Experience in architecting a Data Mesh
• Expertise in infrastructure as code and automating production data and ML pipelines
• Prior experience in a legacy Hadoop distribution
• Experience collaborating with Data Science teams
• Exposure to healthcare data

FinThrive’s Core Values and Expectations

• Demonstrate integrity and ethics in day-to-day tasks and decision making, adhere to FinThrive’s core values of being Customer-Centric, Agile, Reliable and Engaged, operate effectively in the FinThrive environment and the environment of the work group, maintain a focus on self-development and seek out continuous feedback and learning opportunities
• Support FinThrive’s Compliance Program by adhering to policies and procedures pertaining to HIPAA, FCRA, GLBA and other laws applicable to FinThrive’s business practices; this includes becoming familiar with FinThrive’s Code of Ethics, attending training as required, notifying management or FinThrive’s Helpline when there is a compliance concern or incident, HIPAA-compliant handling of patient information, and demonstrable awareness of confidentiality obligations